SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 18511900 of 7282 papers

TitleStatusHype
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious CorrelationsCode0
Denoising Diffusion Probabilistic Models as a Defense against Adversarial AttacksCode0
Mask-GVAE: Blind Denoising Graphs via PartitionCode0
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family ObservablesCode0
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesCode0
Bilevel Learning with Inexact Stochastic GradientsCode0
Masked Diffusion with Task-awareness for Procedure Planning in Instructional VideosCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Manifold Denoising by Nonlinear Robust Principal Component AnalysisCode0
MambaFoley: Foley Sound Generation using Selective State-Space ModelsCode0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Denoising Diffusion-Based Control of Nonlinear SystemsCode0
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal TractCode0
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingCode0
Magnetogram-to-Magnetogram: Generative Forecasting of Solar EvolutionCode0
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion ModelsCode0
Denoising Deep Generative ModelsCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score MatchingCode0
Multiscale Sparsifying Transform Learning for Image DenoisingCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
A Multi-Head Convolutional Neural Network With Multi-path Attention improves Image DenoisingCode0
Denoising Bottleneck with Mutual Information Maximization for Video Multimodal FusionCode0
Moment Matching Denoising Gibbs SamplingCode0
Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH SpacecraftCode0
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging ProblemsCode0
Denoising Noisy Neural Networks: A Bayesian Approach with CompensationCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse SignalsCode0
Denoising-based Contractive Imitation LearningCode0
Denoising of 3D magnetic resonance images with multi-channel residual learning of convolutional neural networkCode0
Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial DefenseCode0
LoFi: Neural Local Fields for Scalable Image ReconstructionCode0
Low Frequency Adversarial PerturbationCode0
Machine learning based lens-free imaging technique for field-portable cytometryCode0
Denoising autoencoder with modulated lateral connections learns invariant representations of natural imagesCode0
LLNet: A Deep Autoencoder Approach to Natural Low-light Image EnhancementCode0
LMD: Faster Image Reconstruction with Latent Masking DiffusionCode0
Localized Fourier Analysis for Graph Signal ProcessingCode0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Denoising Architecture for Unsupervised Anomaly Detection in Time-SeriesCode0
Beyond Human Perception: Understanding Multi-Object World from Monocular ViewCode0
LINN: Lifting Inspired Invertible Neural Network for Image DenoisingCode0
Denoising Prior Driven Deep Neural Network for Image RestorationCode0
Multi-hypotheses Conditioned Point Cloud Diffusion for 3D Human Reconstruction from Occluded ImagesCode0
Denoising and Regularization via Exploiting the Structural Bias of Convolutional GeneratorsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified